From f2c4a0d915d90df72898fed50ecda54db5f39734 Mon Sep 17 00:00:00 2001 From: 732642856 <732642856@qq.com> Date: Fri, 17 Jul 2026 19:39:45 +0800 Subject: [PATCH] feat: migrate precise Shadbala parity --- .../jyotish/scripts/run_pyjhora_compare.py | 16 + .../jyotish/scripts/run_skill_baseline.py | 11 + ...026-07-17-shadbala-high-rigor-migration.md | 38 + ...ercial_external_validation_release.v1.json | 30 + ...yotishganit_steve_jobs_high_rigor_raw.json | 7494 +++++++++++++++++ .../local_steve_jobs_high_rigor_raw.json | 792 ++ .../pyjhora_steve_jobs_high_rigor_raw.json | 494 ++ ...o_steve_jobs_public_aa_divisional_raw.json | 3572 ++++++++ ...extended_parity_public_smoke_manifest.json | 31 + .../three_engine_parity_replay_manifest.json | 1513 +++- scripts/jyotish_api_server.py | 15 +- scripts/jyotish_engine.py | 12 +- scripts/shadbala.py | 237 +- scripts/three_engine_high_rigor_parity.py | 170 + tests/test_shadbala_precise_context.py | 56 + tests/test_three_engine_high_rigor_parity.py | 56 + 16 files changed, 14364 insertions(+), 173 deletions(-) create mode 100644 docs/superpowers/plans/2026-07-17-shadbala-high-rigor-migration.md create mode 100644 references/oracle/artifacts/jyotishganit_steve_jobs_high_rigor_raw.json create mode 100644 references/oracle/artifacts/local_steve_jobs_high_rigor_raw.json create mode 100644 references/oracle/artifacts/pyjhora_steve_jobs_high_rigor_raw.json create mode 100644 references/oracle/artifacts/vedastro_steve_jobs_public_aa_divisional_raw.json create mode 100644 references/oracle/pyjhora_extended_parity_public_smoke_manifest.json create mode 100644 scripts/three_engine_high_rigor_parity.py create mode 100644 tests/test_shadbala_precise_context.py create mode 100644 tests/test_three_engine_high_rigor_parity.py diff --git a/benchmarks/jyotish/scripts/run_pyjhora_compare.py b/benchmarks/jyotish/scripts/run_pyjhora_compare.py index 26f6d911..041a7b7f 100644 --- a/benchmarks/jyotish/scripts/run_pyjhora_compare.py +++ b/benchmarks/jyotish/scripts/run_pyjhora_compare.py @@ -197,6 +197,15 @@ def build_pyjhora_sample(sample, *, node_mode='mean'): 'sav': list(sav), }, 'shadbala': {name: float(shadbala[6][index]) for index, name in enumerate(['Sun', 'Moon', 'Mars', 'Mercury', 'Jupiter', 'Venus', 'Saturn'])}, + 'shadbala_components': { + name: { + component: float(shadbala[row_index][index]) + for component, row_index in { + 'sthana': 0, 'kala': 1, 'dig': 2, 'chesta': 3, 'naisargika': 4, 'drik': 5, + }.items() + } + for index, name in enumerate(['Sun', 'Moon', 'Mars', 'Mercury', 'Jupiter', 'Venus', 'Saturn']) + }, 'dasha': dasha, } @@ -276,6 +285,13 @@ def compare_one(sample_id, local, pyjhora): rows, sample_id, 'Shadbala', planet, 'total_virupas', local.get('shadbala', {}).get(planet), pyjhora.get('shadbala', {}).get(planet), tolerance=0.5, ) + for component in ['sthana', 'kala', 'dig', 'chesta', 'naisargika', 'drik']: + compare_scalar( + rows, sample_id, 'Shadbala_Component', planet, component, + local.get('shadbala_components', {}).get(planet, {}).get(component), + pyjhora.get('shadbala_components', {}).get(planet, {}).get(component), + tolerance=0.5, + ) # PyJHora dasha is useful as external signal, but currently has different default starting convention/seed in some cases. # Keep fields in matrix, with generous date tolerance; differences are classified below in report. for field in ['mahadasha_lord', 'antardasha_lord']: diff --git a/benchmarks/jyotish/scripts/run_skill_baseline.py b/benchmarks/jyotish/scripts/run_skill_baseline.py index aa5f25e5..a8a22375 100644 --- a/benchmarks/jyotish/scripts/run_skill_baseline.py +++ b/benchmarks/jyotish/scripts/run_skill_baseline.py @@ -111,6 +111,17 @@ def canonicalize(sample, data): 'sav': [safe_get(modules, 'ashtakavarga', 'sav', 'scores', sign) for sign in ['Aries', 'Taurus', 'Gemini', 'Cancer', 'Leo', 'Virgo', 'Libra', 'Scorpio', 'Sagittarius', 'Capricorn', 'Aquarius', 'Pisces']], }, 'shadbala': {name: safe_get(modules, 'shadbala', 'planets', name, 'total_virupas') for name in PLANETS[:7]}, + 'shadbala_components': { + name: { + 'sthana': safe_get(modules, 'shadbala', 'planets', name, 'sthana_bala', 'total'), + 'kala': safe_get(modules, 'shadbala', 'planets', name, 'kala_bala', 'total'), + 'dig': safe_get(modules, 'shadbala', 'planets', name, 'dig_bala'), + 'chesta': safe_get(modules, 'shadbala', 'planets', name, 'chesta_bala'), + 'naisargika': safe_get(modules, 'shadbala', 'planets', name, 'naisargika_bala'), + 'drik': safe_get(modules, 'shadbala', 'planets', name, 'drik_bala'), + } + for name in PLANETS[:7] + }, 'dasha': { 'mahadasha_lord': current.get('lord'), 'mahadasha_start': current.get('start'), diff --git a/docs/superpowers/plans/2026-07-17-shadbala-high-rigor-migration.md b/docs/superpowers/plans/2026-07-17-shadbala-high-rigor-migration.md new file mode 100644 index 00000000..c682e5e6 --- /dev/null +++ b/docs/superpowers/plans/2026-07-17-shadbala-high-rigor-migration.md @@ -0,0 +1,38 @@ +# Shadbala High-Rigor Migration Implementation Plan +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Port the reviewed `f3bae51` Shadbala component-formula correction and its public high-rigor parity evidence from research to the commercial backend without importing research worktree residue. + +**Architecture:** Use the committed research tree at `f3bae51` as the only source. First add the precise-context regression to commercial and observe failure; then port the smallest calculation/API/engine changes needed for it. Public Steve Jobs artifacts and the parity manifest move only after privacy and hash checks. + +**Tech Stack:** Python 3, pytest, existing Swiss Ephemeris/Jyotish engine, JSON evidence manifests. + +### Task 1: Port formula regression first + +**Files:** +- Create: `tests/test_shadbala_precise_context.py` +- Modify: `scripts/shadbala.py` +- Modify: `scripts/jyotish_engine.py` +- Modify: `scripts/jyotish_api_server.py` + +- [ ] Copy the committed regression test from `f3bae51`; run it in commercial and observe failure. +- [ ] Diff the source commit against its parent, then port only paths exercised by the failing test. +- [ ] Run the precise-context test plus existing Shadbala tests. + +### Task 2: Port public high-rigor evidence + +**Files:** +- Create: `references/oracle/artifacts/jyotishganit_steve_jobs_high_rigor_raw.json` +- Create: `references/oracle/artifacts/local_steve_jobs_high_rigor_raw.json` +- Modify: `references/oracle/three_engine_parity_replay_manifest.json` + +- [ ] Verify artifacts have no secret/private input and are referenced by the committed parity manifest. +- [ ] Copy exact committed public files, then run parity artifact-contract and replay-validator tests. + +### Task 3: Verify and publish + +**Files:** +- Modify: `references/evidence_manifests/commercial_external_validation_release.v1.json` when public evidence is added to release scope + +- [ ] Run focused Shadbala, parity, API, privacy, and release-hash gates. +- [ ] Commit only reviewed migration files and push `codex/cross-project-contract`. diff --git a/references/evidence_manifests/commercial_external_validation_release.v1.json b/references/evidence_manifests/commercial_external_validation_release.v1.json index 9c8eb1ce..53b4e37b 100644 --- a/references/evidence_manifests/commercial_external_validation_release.v1.json +++ b/references/evidence_manifests/commercial_external_validation_release.v1.json @@ -93,6 +93,36 @@ "path": "references/oracle/artifacts/vedastro_steve_jobs_contract_probe_run3.json", "sha256": "fb0e05704df9be5bece7bef3b42fc14e0cc4f254685f039b855b359da453c650", "scope": "third independent redacted VedAstro contract probe" + }, + { + "id": "high_rigor_local_raw", + "path": "references/oracle/artifacts/local_steve_jobs_high_rigor_raw.json", + "sha256": "8361cac2831404a005e6be5c927b9cd610cfc0787ca17a547e81ae9a4d601746", + "scope": "public same-chart local high-rigor raw output" + }, + { + "id": "high_rigor_pyjhora_raw", + "path": "references/oracle/artifacts/pyjhora_steve_jobs_high_rigor_raw.json", + "sha256": "a0374c77f7d4c435a473871ca8bbd0dff45f314eb2d68f5e9b3106478b986508", + "scope": "public same-chart PyJHora high-rigor raw output" + }, + { + "id": "high_rigor_jyotishganit_raw", + "path": "references/oracle/artifacts/jyotishganit_steve_jobs_high_rigor_raw.json", + "sha256": "5cbb85f6cd9210558d496c350b45aa1dc2785ab3f49a800a884b45c76c49e6a1", + "scope": "public same-chart jyotishganit high-rigor raw output" + }, + { + "id": "high_rigor_vedastro_divisional_raw", + "path": "references/oracle/artifacts/vedastro_steve_jobs_public_aa_divisional_raw.json", + "sha256": "75da3fa79463e22801b4602ec96d55267fc1dd0ef134ca0c96249317b0db9ef9", + "scope": "public VedAstro divisional and Shadbala raw evidence" + }, + { + "id": "pyjhora_extended_public_smoke", + "path": "references/oracle/pyjhora_extended_parity_public_smoke_manifest.json", + "sha256": "c86315d8e16338608409b9277f835f647f8b739c207e4bcca177fd5ea0e2c0c4", + "scope": "public PyJHora extended parity smoke manifest" } ] } diff --git a/references/oracle/artifacts/jyotishganit_steve_jobs_high_rigor_raw.json b/references/oracle/artifacts/jyotishganit_steve_jobs_high_rigor_raw.json new file mode 100644 index 00000000..1c10dc9e --- /dev/null +++ b/references/oracle/artifacts/jyotishganit_steve_jobs_high_rigor_raw.json @@ -0,0 +1,7494 @@ +{ + "@context": "https://jyotishganit.org/vocab/v1.jsonld", + "@type": "VedicBirthChart", + "ashtakavarga": { + "@type": "Ashtakavarga", + "jupiterBhav": { + "Aquarius": 5, + "Aries": 7, + "Cancer": 3, + "Capricorn": 6, + "Gemini": 3, + "Leo": 4, + "Libra": 4, + "Pisces": 3, + "Sagittarius": 4, + "Scorpio": 5, + "Taurus": 5, + "Virgo": 7 + }, + "marsBhav": { + "Aquarius": 1, + "Aries": 4, + "Cancer": 4, + "Capricorn": 4, + "Gemini": 4, + "Leo": 3, + "Libra": 4, + "Pisces": 2, + "Sagittarius": 1, + "Scorpio": 5, + "Taurus": 7, + "Virgo": 0 + }, + "mercuryBhav": { + "Aquarius": 2, + "Aries": 5, + "Cancer": 4, + "Capricorn": 8, + "Gemini": 5, + "Leo": 4, + "Libra": 6, + "Pisces": 3, + "Sagittarius": 5, + "Scorpio": 5, + "Taurus": 5, + "Virgo": 2 + }, + "moonBhav": { + "Aquarius": 3, + "Aries": 4, + "Cancer": 2, + "Capricorn": 5, + "Gemini": 4, + "Leo": 6, + "Libra": 3, + "Pisces": 5, + "Sagittarius": 5, + "Scorpio": 2, + "Taurus": 5, + "Virgo": 5 + }, + "saturnBhav": { + "Aquarius": 3, + "Aries": 1, + "Cancer": 0, + "Capricorn": 3, + "Gemini": 3, + "Leo": 6, + "Libra": 4, + "Pisces": 3, + "Sagittarius": 3, + "Scorpio": 5, + "Taurus": 5, + "Virgo": 3 + }, + "sav": { + "Aquarius": 22, + "Aries": 28, + "Cancer": 19, + "Capricorn": 35, + "Gemini": 28, + "Leo": 30, + "Libra": 31, + "Pisces": 24, + "Sagittarius": 27, + "Scorpio": 32, + "Taurus": 37, + "Virgo": 24 + }, + "sunBhav": { + "Aquarius": 3, + "Aries": 3, + "Cancer": 3, + "Capricorn": 4, + "Gemini": 4, + "Leo": 3, + "Libra": 6, + "Pisces": 2, + "Sagittarius": 4, + "Scorpio": 7, + "Taurus": 7, + "Virgo": 2 + }, + "venusBhav": { + "Aquarius": 5, + "Aries": 4, + "Cancer": 3, + "Capricorn": 5, + "Gemini": 5, + "Leo": 4, + "Libra": 4, + "Pisces": 6, + "Sagittarius": 5, + "Scorpio": 3, + "Taurus": 3, + "Virgo": 5 + } + }, + "ayanamsa": { + "@type": "Ayanamsa", + "name": "True Chitra Paksha", + "value": 23.84554029153483 + }, + "d1Chart": { + "@type": "RasiChart", + "houses": [ + { + "@type": "House", + "aspectsReceived": [ + { + "aspect_type": "7", + "aspecting_planet": "Sun" + }, + { + "aspect_type": "9", + "aspecting_planet": "Rahu" + } + ], + "bhavaBala": 472.007, + "lord": "Sun", + "lordPlacedHouse": 7, + "lordPlacedSign": "Aquarius", + "nakshatra": "Uttara Phalguni", + "nakshatraDeity": "Bhaga", + "number": 1, + "occupants": [], + "pada": 1, + "purposes": [ + "Dharma", + "Kendra", + "Trikona" + ], + "sign": "Leo", + "signDegrees": 28.481886536054873 + }, + { + "@type": "House", + "aspectsReceived": [ + { + "aspect_type": "7", + "aspecting_planet": "Moon" + } + ], + "bhavaBala": 290.141, + "lord": "Mercury", + "lordPlacedHouse": 6, + "lordPlacedSign": "Capricorn", + "number": 2, + "occupants": [], + "purposes": [ + "Artha" + ], + "sign": "Virgo" + }, + { + "@type": "House", + "aspectsReceived": [ + { + "aspect_type": "7", + "aspecting_planet": "Mars" + }, + { + "aspect_type": "5", + "aspecting_planet": "Jupiter" + }, + { + "aspect_type": "5", + "aspecting_planet": "Ketu" + } + ], + "bhavaBala": 346.085, + "lord": "Venus", + "lordPlacedHouse": 5, + "lordPlacedSign": "Sagittarius", + "number": 3, + "occupants": [ + { + "@type": "PlanetPosition", + "aspects": { + "gives": [ + { + "aspect_type": "7", + "to_planet": "Mars" + }, + { + "aspect_type": "10", + "to_house": 12 + }, + { + "aspect_type": "7", + "to_house": 9 + }, + { + "aspect_type": "3", + "to_house": 5 + }, + { + "aspect_type": "3", + "to_planet": "Rahu" + }, + { + "aspect_type": "3", + "to_planet": "Venus" + } + ], + "receives": [ + { + "aspect_type": "5", + "from_planet": "Ketu" + }, + { + "aspect_type": "5", + "from_planet": "Jupiter" + }, + { + "aspect_type": "7", + "from_planet": "Mars" + } + ] + }, + "celestialBody": "Saturn", + "conjuncts": [], + "dignities": { + "@type": "PlanetDignities", + "dignity": "exalted", + "friendlyTattvas": [ + "Fire", + "Air" + ], + "planetTattva": "Air", + "rashiTattva": "Air" + }, + "hasLordshipHouses": [ + 6, + 7 + ], + "house": 3, + "motion_type": "direct", + "nakshatra": "Vishakha", + "nakshatraDeity": "Indra-Agni", + "pada": 3, + "shadbala": { + "Cheshtabala": 58.137, + "Digbala": 24.313, + "Drikbala": 8.06, + "Ishtabala": 57.744, + "Kaalabala": { + "Ayanabala": 10.096, + "Natonnatabala": 12.5, + "Pakshabala": 49.333, + "Total": 71.929, + "Tribhagabala": 0.0, + "VarshaMaasaDinaHoraBala": 0.0, + "Yuddhabala": 0.0 + }, + "Kashtabala": 2.256, + "Naisargikabala": 8.57, + "Shadbala": { + "MeetsRequirement": "Yes", + "MinRequired": 5.0, + "Rupas": 5.369, + "Total": 322.113 + }, + "Sthanabala": { + "Drekshanabala": 0.0, + "Kendradhibala": 15.0, + "Ojhayugmarashiamshabala": 30.0, + "Saptavargajabala": 48.75, + "Total": 151.104, + "Uchhabala": 57.354 + } + }, + "sign": "Libra", + "signDegrees": 27.938668660930176 + } + ], + "purposes": [ + "Kama", + "Upachaya" + ], + "sign": "Libra" + }, + { + "@type": "House", + "aspectsReceived": [ + { + "aspect_type": "8", + "aspecting_planet": "Mars" + } + ], + "bhavaBala": 473.421, + "lord": "Mars", + "lordPlacedHouse": 9, + "lordPlacedSign": "Aries", + "number": 4, + "occupants": [], + "purposes": [ + "Moksha", + "Kendra" + ], + "sign": "Scorpio" + }, + { + "@type": "House", + "aspectsReceived": [ + { + "aspect_type": "7", + "aspecting_planet": "Jupiter" + }, + { + "aspect_type": "3", + "aspecting_planet": "Saturn" + } + ], + "bhavaBala": 599.973, + "lord": "Jupiter", + "lordPlacedHouse": 11, + "lordPlacedSign": "Gemini", + "number": 5, + "occupants": [ + { + "@type": "PlanetPosition", + "aspects": { + "gives": [ + { + "aspect_type": "7", + "to_planet": "Jupiter" + }, + { + "aspect_type": "7", + "to_planet": "Ketu" + }, + { + "aspect_type": "7", + "to_house": 11 + } + ], + "receives": [ + { + "aspect_type": "7", + "from_planet": "Jupiter" + }, + { + "aspect_type": "3", + "from_planet": "Saturn" + } + ] + }, + "celestialBody": "Venus", + "conjuncts": [ + "Rahu" + ], + "dignities": { + "@type": "PlanetDignities", + "dignity": "neutral", + "friendlyTattvas": [ + "Earth", + "Water" + ], + "planetTattva": "Water", + "rashiTattva": "Fire" + }, + "hasLordshipHouses": [ + 10, + 3 + ], + "house": 5, + "motion_type": "direct", + "nakshatra": "Uttara Ashadha", + "nakshatraDeity": "Vishvedevatas", + "pada": 1, + "shadbala": { + "Cheshtabala": 46.466, + "Digbala": 45.684, + "Drikbala": -4.511, + "Ishtabala": 37.532, + "Kaalabala": { + "Ayanabala": 5.019, + "Natonnatabala": 47.5, + "Pakshabala": 10.667, + "Total": 63.186, + "Tribhagabala": 0.0, + "VarshaMaasaDinaHoraBala": 0.0, + "Yuddhabala": 0.0 + }, + "Kashtabala": 22.468, + "Naisargikabala": 42.86, + "Shadbala": { + "MeetsRequirement": "No", + "MinRequired": 5.5, + "Rupas": 5.108, + "Total": 306.501 + }, + "Sthanabala": { + "Drekshanabala": 15.0, + "Kendradhibala": 30.0, + "Ojhayugmarashiamshabala": 0.0, + "Saptavargajabala": 37.5, + "Total": 112.816, + "Uchhabala": 30.316 + } + }, + "sign": "Sagittarius", + "signDegrees": 27.94779146740916 + }, + { + "@type": "PlanetPosition", + "aspects": { + "gives": [ + { + "aspect_type": "9", + "to_house": 1 + }, + { + "aspect_type": "5", + "to_house": 9 + }, + { + "aspect_type": "5", + "to_planet": "Mars" + } + ], + "receives": [ + { + "aspect_type": "7", + "from_planet": "Jupiter" + }, + { + "aspect_type": "3", + "from_planet": "Saturn" + } + ] + }, + "celestialBody": "Rahu", + "conjuncts": [ + "Venus" + ], + "dignities": { + "@type": "PlanetDignities", + "dignity": "neutral", + "friendlyTattvas": [ + "Fire", + "Air" + ], + "planetTattva": "Air", + "rashiTattva": "Fire" + }, + "hasLordshipHouses": [], + "house": 5, + "motion_type": "retrograde", + "nakshatra": "Mula", + "nakshatraDeity": "Nirriti", + "pada": 3, + "shadbala": { + "Kaalabala": { + "Ayanabala": 0, + "Natonnatabala": 0, + "Pakshabala": 0.0, + "Total": 0, + "Tribhagabala": 0, + "VarshaMaasaDinaHoraBala": 0, + "Yuddhabala": 0 + } + }, + "sign": "Sagittarius", + "signDegrees": 8.653881856647075 + } + ], + "purposes": [ + "Dharma", + "Trikona" + ], + "sign": "Sagittarius" + }, + { + "@type": "House", + "aspectsReceived": [], + "bhavaBala": 356.129, + "lord": "Saturn", + "lordPlacedHouse": 3, + "lordPlacedSign": "Libra", + "number": 6, + "occupants": [ + { + "@type": "PlanetPosition", + "aspects": { + "gives": [ + { + "aspect_type": "7", + "to_house": 12 + } + ], + "receives": [] + }, + "celestialBody": "Mercury", + "conjuncts": [], + "dignities": { + "@type": "PlanetDignities", + "dignity": "neutral", + "friendlyTattvas": [ + "Fire", + "Air" + ], + "planetTattva": "Air", + "rashiTattva": "Earth" + }, + "hasLordshipHouses": [ + 11, + 2 + ], + "house": 6, + "motion_type": "retrograde", + "nakshatra": "Shravana", + "nakshatraDeity": "Vishnu", + "pada": 4, + "shadbala": { + "Cheshtabala": 35.368, + "Digbala": 7.954, + "Drikbala": -10.985, + "Ishtabala": 25.199, + "Kaalabala": { + "Ayanabala": 12.089, + "Natonnatabala": 60.0, + "Pakshabala": 0.0, + "Total": 72.089, + "Tribhagabala": 0.0, + "VarshaMaasaDinaHoraBala": 0.0, + "Yuddhabala": 0.0 + }, + "Kashtabala": 34.801, + "Naisargikabala": 25.71, + "Shadbala": { + "MeetsRequirement": "No", + "MinRequired": 7.0, + "Rupas": 4.031, + "Total": 241.84 + }, + "Sthanabala": { + "Drekshanabala": 0.0, + "Kendradhibala": 15.0, + "Ojhayugmarashiamshabala": 0.0, + "Saptavargajabala": 78.75, + "Total": 111.704, + "Uchhabala": 17.954 + } + }, + "sign": "Capricorn", + "signDegrees": 21.13741376577741 + } + ], + "purposes": [ + "Artha", + "Trik", + "Upachaya" + ], + "sign": "Capricorn" + }, + { + "@type": "House", + "aspectsReceived": [ + { + "aspect_type": "9", + "aspecting_planet": "Jupiter" + }, + { + "aspect_type": "9", + "aspecting_planet": "Ketu" + } + ], + "bhavaBala": 335.537, + "lord": "Saturn", + "lordPlacedHouse": 3, + "lordPlacedSign": "Libra", + "number": 7, + "occupants": [ + { + "@type": "PlanetPosition", + "aspects": { + "gives": [ + { + "aspect_type": "7", + "to_house": 1 + } + ], + "receives": [ + { + "aspect_type": "9", + "from_planet": "Jupiter" + }, + { + "aspect_type": "9", + "from_planet": "Ketu" + } + ] + }, + "celestialBody": "Sun", + "conjuncts": [], + "dignities": { + "@type": "PlanetDignities", + 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"number": 8, + "occupants": [ + { + "@type": "DivisionalPlanetPosition", + "celestialBody": "Mercury", + "d1HousePlacement": 6, + "sign": "Cancer" + } + ], + "purposes": [], + "sign": "Cancer" + }, + { + "@type": "DivisionalHouse", + "aspectsReceived": [], + "d1HousePlacement": 1, + "lord": "Sun", + "number": 9, + "occupants": [], + "purposes": [], + "sign": "Leo" + }, + { + "@type": "DivisionalHouse", + "aspectsReceived": [], + "d1HousePlacement": 2, + "lord": "Mercury", + "number": 10, + "occupants": [], + "purposes": [], + "sign": "Virgo" + }, + { + "@type": "DivisionalHouse", + "aspectsReceived": [], + "d1HousePlacement": 3, + "lord": "Venus", + "number": 11, + "occupants": [], + "purposes": [], + "sign": "Libra" + }, + { + "@type": "DivisionalHouse", + "aspectsReceived": [], + "d1HousePlacement": 4, + "lord": "Mars", + "number": 12, + "occupants": [ + { + "@type": "DivisionalPlanetPosition", + "celestialBody": "Moon", + "d1HousePlacement": 8, + "sign": "Scorpio" + } + ], + "purposes": [], + "sign": "Scorpio" + } + ] + } + }, + "panchanga": { + "@type": "Panchanga", + "karana": "Gara", + "nakshatra": "Uttara Bhadrapada", + "tithi": "Shukla Tritiya", + "vaara": "Thursday", + "yoga": "Shubha" + }, + "person": { + "@type": "Person", + "birthDate": "1955-02-24T19:15:00+00:00", + "birthPlace": { + "@type": "Place", + "geo": { + "@type": "GeoCoordinates", + "latitude": 37.7749, + "longitude": -122.4194 + } + }, + "name": "Steve Jobs (public benchmark)" + } +} \ No newline at end of file diff --git a/references/oracle/artifacts/local_steve_jobs_high_rigor_raw.json b/references/oracle/artifacts/local_steve_jobs_high_rigor_raw.json new file mode 100644 index 00000000..48a440ab --- /dev/null +++ b/references/oracle/artifacts/local_steve_jobs_high_rigor_raw.json @@ -0,0 +1,792 @@ +{ + "advanced": { + "A10_Karma_Pada": { + "degree": 117.9412, + "distance_from_source": 7, + "exception_applied": false, + "formula": "A10: from house lord count the same distance from source house; apply 1/7 exception", + "house": 12, + "label": "A10_Karma_Pada", + "meaning": "A10/Karma Pada/Rajya Pada：事业名声、职业可见度、社会身份与公众层面的职业结果", + "sign": "Cancer", + "sign_degree": 27.9412, + "source_house": 10, + "source_lord_sign": "Sagittarius", + "source_sign": "Taurus" + }, + "dasha_sandhi": { + "orb_days": 90, + "reference_date": "2026-07-17", + "sandhi_windows": [] + }, + "pushkara_true": { + "Jupiter": { + "degree_in_sign": 27.2772, + "pushkara_bhaga": false, + "pushkara_bhaga_meta": { + "delta": 3.2772, + "element": "air", + "orb": 1.0, + "target_degree": 24 + }, + "pushkara_navamsa": true, + "pushkara_navamsa_meta": { + "element": "air", + "range": [ + 26.6667, + 30 + ] + }, + "sign": "Gemini", + "sign_cn": "双子座" + }, + "Rahu": { + "degree_in_sign": 9.2743, + "pushkara_bhaga": false, + "pushkara_bhaga_meta": { + "delta": 11.7257, + "element": "fire", + "orb": 1.0, + "target_degree": 21 + }, + "pushkara_navamsa": true, + "pushkara_navamsa_meta": { + "element": "fire", + "range": [ + 6.6667, + 10 + ] + }, + "sign": "Sagittarius", + "sign_cn": "射手座" + }, + "Saturn": { + "degree_in_sign": 27.932, + "pushkara_bhaga": false, + "pushkara_bhaga_meta": { + "delta": 3.932, + "element": "air", + "orb": 1.0, + "target_degree": 24 + }, + "pushkara_navamsa": true, + "pushkara_navamsa_meta": { + "element": "air", + "range": [ + 26.6667, + 30 + ] + }, + "sign": "Libra", + "sign_cn": "天秤座" + } + }, + "vargottama_true": { + "Jupiter": { + "d1_sign": "Gemini", + "d9_sign": "Gemini", + "is_vargottama": true + }, + "Venus": { + "d1_sign": "Sagittarius", + "d9_sign": "Sagittarius", + "is_vargottama": true + } + } + }, + "ascendant": { + "degree": 29.0606, + "degree_in_sign": 29.0606, + "degree_in_sign_raw": 149.06059920521156, + "degree_raw": 149.0606, + "lon": 149.0606, + "lord": "Sun", + "sign": "Leo", + "sign_cn": "狮子座" + }, + "ashtakavarga": { + "bav": { + "Jupiter": [ + 7, + 5, + 3, + 3, + 4, + 7, + 4, + 5, + 4, + 6, + 5, + 3 + ], + "Lagna": [ + 5, + 3, + 4, + 4, + 4, + 2, + 4, + 3, + 5, + 7, + 5, + 3 + ], + "Mars": [ + 4, + 7, + 4, + 4, + 3, + 0, + 4, + 5, + 1, + 4, + 1, + 2 + ], + "Mercury": [ + 5, + 5, + 5, + 4, + 4, + 2, + 6, + 5, + 5, + 8, + 2, + 3 + ], + "Moon": [ + 4, + 4, + 4, + 3, + 6, + 5, + 3, + 3, + 4, + 5, + 3, + 5 + ], + "Saturn": [ + 1, + 5, + 3, + 0, + 6, + 3, + 4, + 5, + 3, + 3, + 3, + 3 + ], + "Sun": [ + 3, + 7, + 4, + 3, + 3, + 2, + 6, + 7, + 4, + 4, + 3, + 2 + ], + "Venus": [ + 4, + 3, + 5, + 4, + 3, + 5, + 4, + 3, + 5, + 5, + 5, + 6 + ] + }, + "sav": [ + 28, + 36, + 28, + 21, + 29, + 24, + 31, + 33, + 26, + 35, + 22, + 24 + ] + }, + "birth": { + "day": 24, + "hour": 19, + "lat": 37.7749, + "lon": -122.4194, + "minute": 15, + "month": 2, + "tz": -8.0, + "year": 1955 + }, + "category": "public", + "dasha": { + "antardasha_end": "2027-11-30", + "antardasha_lord": "Rahu", + "antardasha_start": "2025-03-19", + "mahadasha_end": "2043-03-20", + "mahadasha_lord": "Rahu", + "mahadasha_start": "2025-03-19" + }, + "engine": "local_jyotish_skill_v6_0_4", + "label": "Steve Jobs public AA", + "module_health": { + "empty_modules": [], + "module_count": 55, + "validation": { + "checked": 11, + "failed": 0, + "passed": 11, + "results": [ + { + "detail": "SAV total = 337, expected 337", + "name": "SAV总和=337", + "passed": true, + "rule": "R1" + }, + { + "detail": "Sun=48/48; Moon=49/49; Mars=39/39; Mercury=54/54; Jupiter=56/56; Venus=52/52; Saturn=39/39; Lagna=49/49", + "name": "BAV行常数校验", + "passed": true, + "rule": "R2" + }, + { + "detail": "所有12星座 BAV列和 与 SAV分数一致 ✅", + "name": "BAV列→SAV列校验", + "passed": true, + "rule": "R2b" + }, + { + "detail": "Mercury延伸角 = 21.39°, 阈值 28°", + "name": "水星延伸角≤28°", + "passed": true, + "rule": "R3" + }, + { + "detail": "Venus延伸角 = 44.58°, 阈值 47°", + "name": "金星延伸角≤47°", + "passed": true, + "rule": "R4" + }, + { + "detail": "Rahu=249.2743°, Ketu=69.2743°, 偏差=0.0000°", + "name": "Rahu-Ketu 180°对冲", + "passed": true, + "rule": "R5" + }, + { + "detail": "所有行星逆行状态合法", + "name": "逆行合法性", + "passed": true, + "rule": "R6" + }, + { + "detail": "Dasha year chain sum = 120", + "name": "Dasha年限总和=120", + "passed": true, + "rule": "R7" + }, + { + "detail": "完整：9行星 + Ascendant", + "name": "行星完整性", + "passed": true, + "rule": "R8" + }, + { + "detail": "所有行星度数在合法范围", + "name": "星座度数范围", + "passed": true, + "rule": "R9" + }, + { + "detail": "1-12宫完整(12宫)", + "name": "宫位连续性", + "passed": true, + "rule": "R10" + } + ], + "skipped": 0, + "total_checks": 11, + "valid": true + } + }, + "parameters": { + "ayanamsa": "lahiri_assumed_by_skill", + "house": "whole_sign_for_planet_house", + "today": "2026-07-17", + "zodiac": "sidereal" + }, + "planets": { + "Jupiter": { + "degree_in_sign": 27.2772, + "house": 11, + "nakshatra": "Punarvasu", + "nakshatra_pada": 3, + "retrograde": true, + "sign": "Gemini" + }, + "Ketu": { + "degree_in_sign": 9.2743, + "house": 11, + "nakshatra": "Ardra", + "nakshatra_pada": 1, + "retrograde": true, + "sign": "Gemini" + }, + "Mars": { + "degree_in_sign": 5.8598, + "house": 9, + "nakshatra": "Ashwini", + "nakshatra_pada": 2, + "retrograde": false, + "sign": "Aries" + }, + "Mercury": { + "degree_in_sign": 21.1311, + "house": 6, + "nakshatra": "Shravana", + "nakshatra_pada": 4, + "retrograde": true, + "sign": "Capricorn" + }, + "Moon": { + "degree_in_sign": 14.5165, + "house": 8, + "nakshatra": "Uttara Bhadrapada", + "nakshatra_pada": 4, + "retrograde": false, + "sign": "Pisces" + }, + "Rahu": { + "degree_in_sign": 9.2743, + "house": 5, + "nakshatra": "Mula", + "nakshatra_pada": 3, + "retrograde": true, + "sign": "Sagittarius" + }, + "Saturn": { + "degree_in_sign": 27.932, + "house": 3, + "nakshatra": "Vishakha", + "nakshatra_pada": 3, + "retrograde": false, + "sign": "Libra" + }, + "Sun": { + "degree_in_sign": 12.5175, + "house": 7, + "nakshatra": "Shatabhisha", + "nakshatra_pada": 2, + "retrograde": false, + "sign": "Aquarius" + }, + "Venus": { + "degree_in_sign": 27.9412, + "house": 5, + "nakshatra": "Uttara Ashadha", + "nakshatra_pada": 1, + "retrograde": false, + "sign": "Sagittarius" + } + }, + "privacy": "public", + "sample_id": "steve_jobs_public_aa", + "shadbala": { + "Jupiter": null, + "Mars": null, + "Mercury": null, + "Moon": null, + "Saturn": null, + "Sun": null, + "Venus": null + }, + "shadbala_components": { + "Jupiter": { + "chesta": null, + "dig": null, + "drik": null, + "kala": null, + "naisargika": null, + "sthana": null + }, + "Mars": { + "chesta": null, + "dig": null, + "drik": null, + "kala": null, + "naisargika": null, + "sthana": null + }, + "Mercury": { + "chesta": null, + "dig": null, + "drik": null, + "kala": null, + "naisargika": null, + "sthana": null + }, + "Moon": { + "chesta": null, + "dig": null, + "drik": null, + "kala": null, + "naisargika": null, + "sthana": null + }, + "Saturn": { + "chesta": null, + "dig": null, + "drik": null, + "kala": null, + "naisargika": null, + "sthana": null + }, + "Sun": { + "chesta": null, + "dig": null, + "drik": null, + "kala": null, + "naisargika": null, + "sthana": null + }, + "Venus": { + "chesta": null, + "dig": null, + "drik": null, + "kala": null, + "naisargika": null, + "sthana": null + } + }, + "shadbala_method_variants": { + "chesta": "bphs_bounded_surya_mean_motion_seeghrochcha", + "chesta_source": "MIT jyotishganit structure plus public Surya Siddhanta revolution constants", + "kala": "bphs_local_solar_events_ahargana_declination" + }, + "varga": { + "D10": { + "Ascendant": { + "degree_in_sign": 20.606, + "lord": "Venus", + "part_index": 9, + "sign": "Taurus", + "sign_idx": 1 + }, + "Jupiter": { + "degree_in_sign": 2.7724, + "lord": "Jupiter", + "part_index": 9, + "sign": "Pisces", + "sign_idx": 11 + }, + "Ketu": { + "degree_in_sign": 2.7429, + "lord": "Mercury", + "part_index": 3, + "sign": "Virgo", + "sign_idx": 5 + }, + "Mars": { + "degree_in_sign": 28.5982, + "lord": "Venus", + "part_index": 1, + "sign": "Taurus", + "sign_idx": 1 + }, + "Mercury": { + "degree_in_sign": 1.3107, + "lord": "Mars", + "part_index": 7, + "sign": "Aries", + "sign_idx": 0 + }, + "Moon": { + "degree_in_sign": 25.1652, + "lord": "Jupiter", + "part_index": 4, + "sign": "Pisces", + "sign_idx": 11 + }, + "Rahu": { + "degree_in_sign": 2.7429, + "lord": "Jupiter", + "part_index": 3, + "sign": "Pisces", + "sign_idx": 11 + }, + "Saturn": { + "degree_in_sign": 9.3204, + "lord": "Moon", + "part_index": 9, + "sign": "Cancer", + "sign_idx": 3 + }, + "Sun": { + "degree_in_sign": 5.1749, + "lord": "Mercury", + "part_index": 4, + "sign": "Gemini", + "sign_idx": 2 + }, + "Venus": { + "degree_in_sign": 9.4123, + "lord": "Mercury", + "part_index": 9, + "sign": "Virgo", + "sign_idx": 5 + } + }, + "D2": { + "Ascendant": { + "degree_in_sign": 28.1212, + "lord": "Moon", + "part_index": 1, + "sign": "Cancer", + "sign_idx": 3 + }, + "Jupiter": { + "degree_in_sign": 24.5545, + "lord": "Moon", + "part_index": 1, + "sign": "Cancer", + "sign_idx": 3 + }, + "Ketu": { + "degree_in_sign": 18.5486, + "lord": "Sun", + "part_index": 0, + "sign": "Leo", + "sign_idx": 4 + }, + "Mars": { + "degree_in_sign": 11.7196, + "lord": "Sun", + "part_index": 0, + "sign": "Leo", + "sign_idx": 4 + }, + "Mercury": { + "degree_in_sign": 12.2621, + "lord": "Sun", + "part_index": 1, + "sign": "Leo", + "sign_idx": 4 + }, + "Moon": { + "degree_in_sign": 29.033, + "lord": "Moon", + "part_index": 0, + "sign": "Cancer", + "sign_idx": 3 + }, + "Rahu": { + "degree_in_sign": 18.5486, + "lord": "Sun", + "part_index": 0, + "sign": "Leo", + "sign_idx": 4 + }, + "Saturn": { + "degree_in_sign": 25.8641, + "lord": "Moon", + "part_index": 1, + "sign": "Cancer", + "sign_idx": 3 + }, + "Sun": { + "degree_in_sign": 25.035, + "lord": "Sun", + "part_index": 0, + "sign": "Leo", + "sign_idx": 4 + }, + "Venus": { + "degree_in_sign": 25.8825, + "lord": "Moon", + "part_index": 1, + "sign": "Cancer", + "sign_idx": 3 + } + }, + "D4": { + "Ascendant": { + "degree_in_sign": 26.2424, + "lord": "Venus", + "part_index": 3, + "sign": "Taurus", + "sign_idx": 1 + }, + "Jupiter": { + "degree_in_sign": 19.1089, + "lord": "Jupiter", + "part_index": 3, + "sign": "Pisces", + "sign_idx": 11 + }, + "Ketu": { + "degree_in_sign": 7.0972, + "lord": "Mercury", + "part_index": 1, + "sign": "Virgo", + "sign_idx": 5 + }, + "Mars": { + "degree_in_sign": 23.4393, + "lord": "Mars", + "part_index": 0, + "sign": "Aries", + "sign_idx": 0 + }, + "Mercury": { + "degree_in_sign": 24.5243, + "lord": "Moon", + "part_index": 2, + "sign": "Cancer", + "sign_idx": 3 + }, + "Moon": { + "degree_in_sign": 28.0661, + "lord": "Mercury", + "part_index": 1, + "sign": "Gemini", + "sign_idx": 2 + }, + "Rahu": { + "degree_in_sign": 7.0972, + "lord": "Jupiter", + "part_index": 1, + "sign": "Pisces", + "sign_idx": 11 + }, + "Saturn": { + "degree_in_sign": 21.7282, + "lord": "Moon", + "part_index": 3, + "sign": "Cancer", + "sign_idx": 3 + }, + "Sun": { + "degree_in_sign": 20.0699, + "lord": "Venus", + "part_index": 1, + "sign": "Taurus", + "sign_idx": 1 + }, + "Venus": { + "degree_in_sign": 21.7649, + "lord": "Mercury", + "part_index": 3, + "sign": "Virgo", + "sign_idx": 5 + } + }, + "D9": { + "Ascendant": { + "degree_in_sign": 21.5454, + "lord": "Jupiter", + "pada": 9, + "part_index": 8, + "sign": "Sagittarius", + "sign_idx": 8 + }, + "Jupiter": { + "degree_in_sign": 5.4951, + "lord": "Mercury", + "pada": 9, + "part_index": 8, + "sign": "Gemini", + "sign_idx": 2 + }, + "Ketu": { + "degree_in_sign": 23.4686, + "lord": "Jupiter", + "pada": 3, + "part_index": 2, + "sign": "Sagittarius", + "sign_idx": 8 + }, + "Mars": { + "degree_in_sign": 22.7384, + "lord": "Venus", + "pada": 2, + "part_index": 1, + "sign": "Taurus", + "sign_idx": 1 + }, + "Mercury": { + "degree_in_sign": 10.1797, + "lord": "Moon", + "pada": 7, + "part_index": 6, + "sign": "Cancer", + "sign_idx": 3 + }, + "Moon": { + "degree_in_sign": 10.6487, + "lord": "Mars", + "pada": 5, + "part_index": 4, + "sign": "Scorpio", + "sign_idx": 7 + }, + "Rahu": { + "degree_in_sign": 23.4686, + "lord": "Mercury", + "pada": 3, 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"Lagna": [ + 5, + 3, + 4, + 4, + 4, + 2, + 4, + 3, + 5, + 7, + 5, + 3 + ], + "Mars": [ + 4, + 7, + 4, + 4, + 3, + 0, + 4, + 5, + 1, + 4, + 1, + 2 + ], + "Mercury": [ + 5, + 5, + 5, + 4, + 4, + 2, + 6, + 5, + 5, + 8, + 2, + 3 + ], + "Moon": [ + 4, + 4, + 4, + 3, + 6, + 5, + 3, + 3, + 4, + 5, + 3, + 5 + ], + "Saturn": [ + 1, + 5, + 3, + 0, + 6, + 3, + 4, + 5, + 3, + 3, + 3, + 3 + ], + "Sun": [ + 3, + 7, + 4, + 3, + 3, + 2, + 6, + 7, + 4, + 4, + 3, + 2 + ], + "Venus": [ + 4, + 3, + 5, + 4, + 3, + 5, + 4, + 3, + 5, + 5, + 5, + 6 + ] + }, + "sav": [ + 28, + 36, + 28, + 21, + 29, + 24, + 31, + 33, + 26, + 35, + 22, + 24 + ] + }, + "dasha": { + "antardasha_end": "2027-12-03", + "antardasha_lord": "Rahu", + "antardasha_start": "2025-03-22", + "mahadasha_end": "2043-03-23", + "mahadasha_lord": "Rahu", + "mahadasha_start": "2025-03-22" + }, + "engine": "PyJHora_4_8_6_lahiri_patched", + "parameters": { + "ayanamsa": "LAHIRI", + "compat": "monkeypatch swisseph keyword API + missing constants; 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+ "TotalBindus": 337, + "WeakestHouse": 1, + "YouthTotal": 101 + } + }, + "Status": "Pass", + "source_metadata": { + "cache_created_at": "2026-07-17T08:48:57Z", + "cache_expires_at": "2026-07-17T08:58:57Z", + "cache_hit": false, + "cache_key": "c2a2d7e57ee8f5547334dfd6169b6304e85b7f65b98f7ab4182757af2ab84d90", + "cache_ttl_seconds": 600.0, + "free_tier_rate_limit": { + "max_requests": 5, + "mode": "api_key_present", + "queue_active": false, + "waited_seconds": 0.0, + "window_seconds": 60.0 + } + } + }, + "ashtakavarga_sav_chart": { + "Input": { + "Ayanamsa": 1, + "CalculatorName": "SarvashtakavargaChart", + "Parameters": [ + { + "Name": "birthTime", + "Type": "Time", + "Value": { + "Location": { + "Latitude": 37.7749, + "Longitude": -122.4194, + "Name": "UserLocation" + }, + "StdTime": "19:15 24/02/1955 -08:00" + } + } + ], + "Type": "SingleCall" + }, + "Payload": { + "SarvashtakavargaChart": { + "Ascendant": { + "Rows": [ + 2, + 2, + 6, + 7, + 1, + 5, + 3, + 5, + 5, + 2, + 6, + 1 + ], + "Total": 45 + }, + "Jupiter": { + "Rows": [ + 4, + 7, + 4, + 2, + 1, + 1, + 2, + 3, + 4, + 2, + 4, + 2 + ], + "Total": 36 + }, + "Mars": { + "Rows": [ + 2, + 4, + 5, + 3, + 4, + 3, + 3, + 4, + 4, + 4, + 6, + 7 + ], + "Total": 49 + }, + "Mercury": { + "Rows": [ + 5, + 2, + 6, + 6, + 1, + 2, + 5, + 5, + 7, + 3, + 3, + 1 + ], + "Total": 46 + }, + "Moon": { + "Rows": [ + 2, + 3, + 5, + 2, + 2, + 5, + 2, + 2, + 2, + 3, + 7, + 1 + ], + "Total": 36 + }, + "Sarvashtakavarga": { + "Rows": [ + 24, + 28, + 37, + 28, + 19, + 30, + 24, + 31, + 32, + 27, + 35, + 22 + ], + "Total": 337 + }, + "Saturn": { + "Rows": [ + 3, + 3, + 4, + 4, + 4, + 6, + 1, + 3, + 2, + 4, + 4, + 4 + ], + "Total": 42 + }, + "Sun": { + "Rows": [ + 3, + 3, + 3, + 2, + 3, + 4, + 5, + 3, + 5, + 7, + 2, + 3 + ], + "Total": 43 + }, + "Venus": { + "Rows": [ + 3, + 4, + 4, + 2, + 3, + 4, + 3, + 6, + 3, + 2, + 3, + 3 + ], + "Total": 40 + } + } + }, + "Status": "Pass", + "source_metadata": { + "cache_created_at": "2026-07-17T08:49:00Z", + "cache_expires_at": "2026-07-17T08:59:00Z", + "cache_hit": false, + "cache_key": "d63fed466d10e7e0ddf08d6aa025a3b4daef652d77331c61ebf22450b154bb89", + "cache_ttl_seconds": 600.0, + "free_tier_rate_limit": { + "max_requests": 5, + "mode": "api_key_present", + "queue_active": false, + "waited_seconds": 0.0, + "window_seconds": 60.0 + } + } + }, + "shadbala": { + "Input": { + "Ayanamsa": 1, + "CalculatorName": "AllPlanetStrength", + "Parameters": [ + { + "Name": "time", + "Type": "Time", + "Value": { + "Location": { + "Latitude": 37.7749, + "Longitude": -122.4194, + "Name": "UserLocation" + }, + "StdTime": "19:15 24/02/1955 -08:00" + } + } + ], + "Type": "SingleCall" + }, + "Payload": { + "AllPlanetStrength": "(324.33, Sun), (421.8, Moon), (397.89, Mars), (467.58, Mercury), (427.22, Jupiter), (402.56, Venus), (468.67, Saturn), (427.22, Rahu), (467.58, Ketu)" + }, + "Status": "Pass", + "source_metadata": { + "cache_created_at": "2026-07-17T08:48:56Z", + "cache_expires_at": "2026-07-17T08:58:56Z", + "cache_hit": false, + "cache_key": "fb7392f4860f83b00e9196652f3057e5079183ee66274732cae746f484ed1412", + "cache_ttl_seconds": 600.0, + "free_tier_rate_limit": { + "max_requests": 5, + "mode": "api_key_present", + "queue_active": false, + "waited_seconds": 0.0, + "window_seconds": 60.0 + } + } + } + }, + "scalar_statuses": { + "ashtakavarga_bav": "ok", + "ashtakavarga_sav": "ok", + "ashtakavarga_sav_chart": "ok", + "shadbala": "ok" + }, + "scope": "vedastro_official_http_divisional_parity_raw", + "settings": { + "ayanamsa_policy": "lahiri", + "birth": { + "day": 24, + "hour": 19, + "lat": 37.7749, + "lon": -122.4194, + "minute": 15, + "month": 2, + "second": null, + "tz": -8.0, + "year": 1955 + }, + "calculator": "AllPlanetData", + "case_id": "steve_jobs_public_aa", + "endpoint_host": "api.vedastro.org", + "node_policy": "mean", + "planets": [ + "Sun", + "Moon", + "Mars", + "Mercury", + "Jupiter", + "Venus", + "Saturn" + ] + }, + "source": "vedastro_official_http", + "status": "ok" +} \ No newline at end of file diff --git a/references/oracle/pyjhora_extended_parity_public_smoke_manifest.json b/references/oracle/pyjhora_extended_parity_public_smoke_manifest.json new file mode 100644 index 00000000..1777a054 --- /dev/null +++ b/references/oracle/pyjhora_extended_parity_public_smoke_manifest.json @@ -0,0 +1,31 @@ +{ + "scope": "pyjhora_extended_parity_public_smoke", + "status": "partial_verified", + "tested": true, + "birth_data_policy": "public_synthetic_smoke_only", + "settings": { + "ayanamsa": "lahiri", + "node_mode": "mean" + }, + "sample_count": 1, + "sample_ids": [ + "smoke_beijing_1990_noon" + ], + "comparison_rows": { + "total": 239, + "match": 232, + "mismatch": 7 + }, + "covered_outputs": [ + "D2", + "D4", + "D9", + "D10", + "Ashtakavarga" + ], + "partial_outputs": [ + "Shadbala" + ], + "source_report": "docs/research/pyjhora_d2_d4_ashtakavarga_shadbala_parity_2026_07_15.md", + "boundary": "D2, D4, BAV and SAV match for one public synthetic chart. Shadbala total virupas mismatch for all seven planets and remains outside verified coverage." +} diff --git a/references/oracle/three_engine_parity_replay_manifest.json b/references/oracle/three_engine_parity_replay_manifest.json index cf9c055b..0b46a3e3 100644 --- a/references/oracle/three_engine_parity_replay_manifest.json +++ b/references/oracle/three_engine_parity_replay_manifest.json @@ -14,17 +14,6 @@ "section": "D1", "status": "match" }, - { - "field": "Sun.longitude", - "local_value": 312.51748591136726, - "oracle_values": { - "PyJHora_JHora": 312.51819523181405, - "VedAstro": 312.51222222222225, - "jyotishganit": 312.5241179806235 - }, - "section": "D1", - "status": "match" - }, { "field": "Moon.sign", "local_value": "Pisces", @@ -36,17 +25,6 @@ "section": "D1", "status": "match" }, - { - "field": "Moon.longitude", - "local_value": 344.5165209098362, - "oracle_values": { - "PyJHora_JHora": 344.51168181221095, - "VedAstro": 344.5113888888889, - "jyotishganit": 344.5244975534928 - }, - "section": "D1", - "status": "match" - }, { "field": "Mars.sign", "local_value": "Aries", @@ -58,17 +36,6 @@ "section": "D1", "status": "match" }, - { - "field": "Mars.longitude", - "local_value": 5.8598225437926565, - "oracle_values": { - "PyJHora_JHora": 5.862334338243072, - "VedAstro": 5.854722222222223, - "jyotishganit": 5.866405267585137 - }, - "section": "D1", - "status": "match" - }, { "field": "Mercury.sign", "local_value": "Capricorn", @@ -80,17 +47,6 @@ "section": "D1", "status": "match" }, - { - "field": "Mercury.longitude", - "local_value": 291.13107265785646, - "oracle_values": { - "PyJHora_JHora": 291.12589362817465, - "VedAstro": 291.12583333333333, - "jyotishganit": 291.1374137657774 - }, - "section": "D1", - "status": "match" - }, { "field": "Jupiter.sign", "local_value": "Gemini", @@ -102,17 +58,6 @@ "section": "D1", "status": "match" }, - { - "field": "Jupiter.longitude", - "local_value": 87.27723563442187, - "oracle_values": { - "PyJHora_JHora": 87.27055150216493, - "VedAstro": 87.27222222222223, - "jyotishganit": 87.28382648671735 - }, - "section": "D1", - "status": "match" - }, { "field": "Venus.sign", "local_value": "Sagittarius", @@ -124,17 +69,6 @@ "section": "D1", "status": "match" }, - { - "field": "Venus.longitude", - "local_value": 267.941228624149, - "oracle_values": { - "PyJHora_JHora": 267.94211928370015, - "VedAstro": 267.93611111111113, - "jyotishganit": 267.94779146740916 - }, - "section": "D1", - "status": "match" - }, { "field": "Saturn.sign", "local_value": "Libra", @@ -147,76 +81,1423 @@ "status": "match" }, { - "field": "Saturn.longitude", - "local_value": 207.93204028705406, + "field": "Sun.sign", + "local_value": "Leo", "oracle_values": { - "PyJHora_JHora": 207.92738390514674, - "VedAstro": 207.92694444444444, - "jyotishganit": 207.93866866093018 + "PyJHora_JHora": "Leo", + "VedAstro": "Gemini", + "jyotishganit": "Leo" }, - "section": "D1", + "section": "D2", + "status": "mismatch" + }, + { + "field": "Moon.sign", + "local_value": "Cancer", + "oracle_values": { + "PyJHora_JHora": "Cancer", + "VedAstro": "Pisces", + "jyotishganit": "Cancer" + }, + "section": "D2", + "status": "mismatch" + }, + { + "field": "Mars.sign", + "local_value": "Leo", + "oracle_values": { + "PyJHora_JHora": "Leo", + "VedAstro": "Aries", + "jyotishganit": "Leo" + }, + "section": "D2", + "status": "mismatch" + }, + { + "field": "Mercury.sign", + "local_value": "Leo", + "oracle_values": { + "PyJHora_JHora": "Leo", + "VedAstro": "Virgo", + "jyotishganit": "Leo" + }, + "section": "D2", + "status": "mismatch" + }, + { + "field": "Jupiter.sign", + "local_value": "Cancer", + "oracle_values": { + "PyJHora_JHora": "Cancer", + "VedAstro": "Aquarius", + "jyotishganit": "Cancer" + }, + "section": "D2", + "status": "mismatch" + }, + { + "field": "Venus.sign", + "local_value": "Cancer", + "oracle_values": { + "PyJHora_JHora": "Cancer", + "VedAstro": "Leo", + "jyotishganit": "Cancer" + }, + "section": "D2", + "status": "mismatch" + }, + { + "field": "Saturn.sign", + "local_value": "Cancer", + "oracle_values": { + "PyJHora_JHora": "Cancer", + "VedAstro": "Gemini", + "jyotishganit": "Cancer" + }, + "section": "D2", + "status": "mismatch" + }, + { + "field": "Sun.sign", + "local_value": "Taurus", + "oracle_values": { + "PyJHora_JHora": "Taurus", + "VedAstro": "Taurus", + "jyotishganit": "Taurus" + }, + "section": "D4", "status": "match" }, { - "field": "raw_capture", + "field": "Moon.sign", + "local_value": "Gemini", + "oracle_values": { + "PyJHora_JHora": "Gemini", + "VedAstro": "Pisces", + "jyotishganit": "Gemini" + }, + "section": "D4", + "status": "mismatch" + }, + { + "field": "Mars.sign", + "local_value": "Aries", + "oracle_values": { + "PyJHora_JHora": "Aries", + "VedAstro": "Aries", + "jyotishganit": "Aries" + }, + "section": "D4", + "status": "match" + }, + { + "field": "Mercury.sign", + "local_value": "Cancer", + "oracle_values": { + "PyJHora_JHora": "Cancer", + "VedAstro": "Cancer", + "jyotishganit": "Cancer" + }, + "section": "D4", + "status": "match" + }, + { + "field": "Jupiter.sign", + "local_value": "Pisces", + "oracle_values": { + "PyJHora_JHora": "Pisces", + "VedAstro": "Pisces", + "jyotishganit": "Pisces" + }, + "section": "D4", + "status": "match" + }, + { + "field": "Venus.sign", + "local_value": "Virgo", + "oracle_values": { + "PyJHora_JHora": "Virgo", + "VedAstro": "Virgo", + "jyotishganit": "Virgo" + }, + "section": "D4", + "status": "match" + }, + { + "field": "Saturn.sign", + "local_value": "Cancer", + "oracle_values": { + "PyJHora_JHora": "Cancer", + "VedAstro": "Cancer", + "jyotishganit": "Cancer" + }, + "section": "D4", + "status": "match" + }, + { + "field": "Sun.sign", + "local_value": "Capricorn", + "oracle_values": { + "PyJHora_JHora": "Capricorn", + "VedAstro": "Capricorn", + "jyotishganit": "Capricorn" + }, + "section": "D9", + "status": "match" + }, + { + "field": "Moon.sign", + "local_value": "Scorpio", + "oracle_values": { + "PyJHora_JHora": "Scorpio", + "VedAstro": "Leo", + "jyotishganit": "Scorpio" + }, + "section": "D9", + "status": "mismatch" + }, + { + "field": "Mars.sign", + "local_value": "Taurus", + "oracle_values": { + "PyJHora_JHora": "Taurus", + "VedAstro": "Taurus", + "jyotishganit": "Taurus" + }, + "section": "D9", + "status": "match" + }, + { + "field": "Mercury.sign", + "local_value": "Cancer", + "oracle_values": { + "PyJHora_JHora": "Cancer", + "VedAstro": "Cancer", + "jyotishganit": "Cancer" + }, + "section": "D9", + "status": "match" + }, + { + "field": "Jupiter.sign", + "local_value": "Gemini", + "oracle_values": { + "PyJHora_JHora": "Gemini", + "VedAstro": "Gemini", + "jyotishganit": "Gemini" + }, + "section": "D9", + "status": "match" + }, + { + "field": "Venus.sign", + "local_value": "Sagittarius", + "oracle_values": { + "PyJHora_JHora": "Sagittarius", + "VedAstro": "Sagittarius", + "jyotishganit": "Sagittarius" + }, + "section": "D9", + "status": "match" + }, + { + "field": 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"scratch/local/three_engine_parity_live/jyotishganit_raw.json", - "status": "raw_captured" + "artifact_hash": "5cbb85f6cd9210558d496c350b45aa1dc2785ab3f49a800a884b45c76c49e6a1", + "raw_output_path": "artifacts/jyotishganit_steve_jobs_high_rigor_raw.json", + "settings": { + "ayanamsa": { + "@type": "Ayanamsa", + "name": "True Chitra Paksha", + "value": 23.84554029153483 + } + }, + "status": "imported" } }, - "local": { - "calculation_contract": { - "algorithm": "sidereal_natal_chart", - "contract_version": "1.0.0", - "effective": { - "ayanamsa": "lahiri", - "ephemeris_flags_verified": false, - "ephemeris_source": "swisseph_calc_ut", - "node_mode": "mean", - "timezone_offset": -8.0, - "timezone_source": "explicit_offset" - }, - "requested": { - "ayanamsa": "lahiri", - "node_mode": "mean", - "timezone_offset": -8.0 - } - }, - "result_hash": "5e3b6ec860177ff29506820a3a80b962fae9bca957af8ffc8302d0e85c733a68" + "method_arbitration": { + "chesta": "blocked_cross_engine_method_conflict", + "chesta_local_variant": "bphs_bounded_surya_mean_motion_seeghrochcha", + "kala": "local_vs_PyJHora_7_of_7_within_0.05_virupa" }, - "runtime_boundary": "This packet has real public raw artifacts and may include VedAstro official raw evidence, and normalized D1 planet sign/longitude parity is tested. Non-D1 scopes still require separate gates.", - "status": "pass", - "tested": true + "runtime_boundary": "Full same-case raw coverage; mismatches remain formula/method differences, not missing artifacts." } \ No newline at end of file diff --git a/scripts/jyotish_api_server.py b/scripts/jyotish_api_server.py index d545d1a9..36acd00a 100644 --- a/scripts/jyotish_api_server.py +++ b/scripts/jyotish_api_server.py @@ -6281,12 +6281,25 @@ class JyotishAPIHandler(BaseHTTPRequestHandler): birth_minute = self._get_float(body, 'birth_minute', body.get('minute', 0), 0, 59) birth_second = self._get_birth_second(body) birth_hour_decimal = self._birth_hour_decimal(birth_hour, birth_minute, birth_second) - result = _load_local_module('shadbala').calc_shadbala( + shadbala_module = _load_local_module('shadbala') + context = None + if all(key in body for key in ('year', 'month', 'day', 'lat', 'lon')): + year = self._get_int(body, 'year', 1990, 1800, 2400) + month = self._get_int(body, 'month', 6, 1, 12) + day = self._get_int(body, 'day', 15, 1, 31) + lat = self._get_float(body, 'lat', 0, -90, 90) + lon = self._get_float(body, 'lon', 0, -180, 180) + tz = self._parse_timezone(body, lat, lon, year, month, day, birth_hour, birth_minute, birth_second) + jd = swe.julday(year, month, day, birth_hour_decimal - tz) + context = shadbala_module.build_shadbala_context(jd, lat, lon, body.get('ayanamsa', 'lahiri')) + result = shadbala_module.calc_shadbala( planets, SIGNS[asc_sign_idx], birth_hour_decimal, planet_lons['Sun'], planet_lons['Moon'], + birth_minute, + context=context, ) advanced = self._compute_shadbala_advanced_layer(body, planets, result) return { diff --git a/scripts/jyotish_engine.py b/scripts/jyotish_engine.py index 90002f73..1f32b987 100644 --- a/scripts/jyotish_engine.py +++ b/scripts/jyotish_engine.py @@ -3356,7 +3356,7 @@ def cmd_shadbala(args): return {"error": "swisseph未安装"} try: sys.path.insert(0, SCRIPT_DIR) - from shadbala import calc_shadbala + from shadbala import build_shadbala_context, calc_shadbala except ImportError as e: return {"error": f"shadbala模块导入失败: {e}"} planets = chart.get("planets", {}) @@ -3364,7 +3364,8 @@ def cmd_shadbala(args): birth_hour = _birth_hour_decimal(args.hour, args.minute, _arg_second(args)) sun_lon = planets.get("Sun", {}).get("degree", 0) moon_lon = planets.get("Moon", {}).get("degree", 0) - return calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon) + context = build_shadbala_context(jd, args.lat, args.lon, _current_ayanamsa_name(args)) + return calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon, context=context) # ============================================================================ @@ -3752,11 +3753,12 @@ def cmd_audit(args): # P9 Shadbala（六重力量） try: sys.path.insert(0, SCRIPT_DIR) - from shadbala import calc_shadbala + from shadbala import build_shadbala_context, calc_shadbala birth_hour = _birth_hour_decimal(args.hour, args.minute, _arg_second(args)) sun_lon = planets.get('Sun', {}).get('degree', 0) moon_lon = planets.get('Moon', {}).get('degree', 0) - shadbala = calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon) + context = build_shadbala_context(jd, args.lat, args.lon, _current_ayanamsa_name(args)) + shadbala = calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon, context=context) report['audit']['P9_shadbala'] = { 'summary': shadbala.get('summary', {}), 'ishta_bala_ranking': shadbala.get('ishta_bala_ranking', []), @@ -5524,7 +5526,7 @@ def cmd_full_reading(args): birth_hour = _birth_hour_decimal(args.hour, args.minute, _arg_second(args)) sun_lon = planet_lons.get('Sun', 0) moon_lon = planet_lons.get('Moon', 0) - shadbala_result = calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon) + shadbala_result = calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon, context=context) # 添加顶层汇总 if isinstance(shadbala_result, dict): sb_planets = shadbala_result.get('planets', {}) diff --git a/scripts/shadbala.py b/scripts/shadbala.py index a433fae5..835eef5d 100644 --- a/scripts/shadbala.py +++ b/scripts/shadbala.py @@ -20,6 +20,7 @@ v6.9.12 修复： """ import math +import swisseph as swe import sys import os import json @@ -118,11 +119,189 @@ SPECIAL_ASPECTS = { # Virupas → Rupas 转换（60 Virupas = 1 Rupa） VIRUPAS_PER_RUPA = 60.0 +_DIG_POWERLESS_HOUSE = {"Sun": 3, "Moon": 9, "Mars": 3, "Mercury": 6, "Jupiter": 6, "Venus": 9, "Saturn": 0} +_MOOLATRIKONA = { + "Sun": (4, 0.0, 20.0), "Moon": (1, 4.0, 30.0), "Mars": (0, 0.0, 12.0), + "Mercury": (5, 16.0, 20.0), "Jupiter": (8, 0.0, 10.0), + "Venus": (6, 0.0, 15.0), "Saturn": (10, 0.0, 20.0), +} + + +def build_shadbala_context(jd_ut: float, lat: float, lon: float, ayanamsa: str = "lahiri") -> Dict: + """Build precise sidereal house context from standard birth inputs.""" + sid_mode = swe.SIDM_LAHIRI + if str(ayanamsa).lower() in {"raman"}: + sid_mode = swe.SIDM_RAMAN + elif str(ayanamsa).lower() in {"kp", "krishnamurti"}: + sid_mode = swe.SIDM_KRISHNAMURTI + swe.set_sid_mode(sid_mode) + cusps, _ = swe.houses_ex(float(jd_ut), float(lat), float(lon), b"P", swe.FLG_SIDEREAL) + return {"jd_ut": float(jd_ut), "lat": float(lat), "lon": float(lon), "ayanamsa": str(ayanamsa), "house_midpoints": [float(value) % 360 for value in cusps]} + + +def calc_dig_bala_precise(pname: str, planet_lon: float, house_midpoints: list[float]) -> float: + """Classical directional strength from the powerless bhava midpoint.""" + powerless = house_midpoints[_DIG_POWERLESS_HOUSE[pname]] + return round(abs(float(powerless) - (float(planet_lon) % 360)) / 3.0, 2) + + +def _planet_longitude(name: str, planets: Dict) -> float: + data = planets[name] + degree = float(data.get("degree", 0.0)) + if degree >= 30.0 or data.get("sign") not in SIGNS: + return degree % 360.0 + return (SIGNS.index(data["sign"]) * 30.0 + degree) % 360.0 + + +def classify_drik_planets(planets: Dict) -> tuple[set[str], set[str]]: + """Classify the seven planets for Drik Bala from lunar phase and Mercury's company.""" + benefics = {name for name in ("Jupiter", "Venus") if name in planets} + malefics = {name for name in ("Sun", "Mars", "Saturn") if name in planets} + + if "Moon" in planets and "Sun" in planets: + target = benefics if (_planet_longitude("Moon", planets) - _planet_longitude("Sun", planets)) % 360.0 <= 180.0 else malefics + target.add("Moon") + + if "Mercury" in planets: + mercury_lon = _planet_longitude("Mercury", planets) + mercury_sign = int(mercury_lon // 30) + companions = [ + name for name in benefics | malefics + if name != "Mercury" and int(_planet_longitude(name, planets) // 30) == mercury_sign + ] + benefic_count = sum(name in benefics for name in companions) + malefic_count = sum(name in malefics for name in companions) + if benefic_count >= malefic_count and (benefic_count != malefic_count or not companions): + benefics.add("Mercury") + elif malefic_count > benefic_count: + malefics.add("Mercury") + else: + nearest = min(companions, key=lambda name: abs(_planet_longitude(name, planets) - mercury_lon)) + (benefics if nearest in benefics else malefics).add("Mercury") + + return benefics, malefics + + +def _sphuta_drishti_virupas(angle: float, aspecting_planet: str) -> float: + angle = round(float(angle) % 360.0, 2) + if angle < 30.0: + strength = 0.0 + elif angle < 60.0: + strength = (angle - 30.0) / 2.0 + elif angle < 90.0: + strength = angle - 45.0 + (45.0 if aspecting_planet == "Saturn" else 0.0) + elif angle < 120.0: + strength = (120.0 - angle) / 2.0 + 30.0 + (15.0 if aspecting_planet == "Mars" else 0.0) + elif angle < 150.0: + strength = 150.0 - angle + (30.0 if aspecting_planet == "Jupiter" else 0.0) + elif angle < 180.0: + strength = 2.0 * (angle - 150.0) + elif angle < 300.0: + strength = (300.0 - angle) / 2.0 + if aspecting_planet == "Mars" and 210.0 <= angle < 240.0: + strength += 15.0 + elif aspecting_planet == "Jupiter" and 240.0 <= angle < 270.0: + strength += 30.0 + elif aspecting_planet == "Saturn" and 270.0 <= angle < 300.0: + strength += 45.0 + else: + strength = 0.0 + return round(strength, 2) + + +def calc_drik_bala_precise(pname: str, all_planets: Dict) -> float: + """Continuous Sphuta Drishti, quarter-weighted by natural benefic/malefic status.""" + if pname not in all_planets: + return 0.0 + benefics, malefics = classify_drik_planets(all_planets) + target_lon = _planet_longitude(pname, all_planets) + total = 0.0 + for other_name in benefics | malefics: + if other_name == pname: + continue + strength = _sphuta_drishti_virupas(target_lon - _planet_longitude(other_name, all_planets), other_name) + total += strength if other_name in benefics else -strength + return round(total / 4.0, 2) + + +def _d30_sign(sign_idx: int, degree: float) -> int: + ranges = ( + ((5, 0), (10, 10), (18, 8), (25, 2), (30, 6)) + if sign_idx % 2 == 0 else + ((5, 1), (12, 5), (20, 11), (25, 9), (30, 7)) + ) + return next(sign for upper, sign in ranges if degree <= upper) + + +def _saptavarga_signs(planets: Dict) -> Dict[int, Dict[str, int]]: + result = {division: {} for division in (1, 2, 3, 7, 9, 12, 30)} + for name in set(planets) & set(_MOOLATRIKONA): + longitude = _planet_longitude(name, planets) + sign_idx, degree = int(longitude // 30), longitude % 30.0 + result[1][name] = sign_idx + result[2][name] = (4 if sign_idx % 2 == 0 else 3) if degree < 15.0 else (3 if sign_idx % 2 == 0 else 4) + for division in (3, 7, 9, 12): + result[division][name] = varga_map(sign_idx, min(division - 1, int(degree / (30.0 / division))), division) + result[30][name] = _d30_sign(sign_idx, degree) + return result + + +def _compound_relation_score(planet: str, owner: str, d1_signs: Dict[str, int]) -> float: + natural = "friend" if owner in FRIENDSHIP[planet]["friend"] else "enemy" if owner in FRIENDSHIP[planet]["enemy"] else "neutral" + separation = (d1_signs[owner] - d1_signs[planet]) % 12 + temporary = "friend" if separation in {1, 2, 3, 9, 10, 11} else "enemy" + return { + ("friend", "friend"): 22.5, + ("neutral", "friend"): 15.0, + ("enemy", "friend"): 7.5, + ("friend", "enemy"): 7.5, + ("neutral", "enemy"): 3.75, + ("enemy", "enemy"): 1.875, + }[(natural, temporary)] + + +def calc_sthana_bala_precise(pname: str, all_planets: Dict, house: int) -> Dict: + longitude = _planet_longitude(pname, all_planets) + degree = longitude % 30.0 + vargas = _saptavarga_signs(all_planets) + scores = {} + for division, positions in vargas.items(): + sign_idx = positions[pname] + owner = SIGN_LORDS[SIGNS[sign_idx]] + mt_sign, mt_start, mt_end = _MOOLATRIKONA[pname] + if division == 1 and sign_idx == mt_sign and mt_start <= degree < mt_end: + score = 45.0 + elif owner == pname: + score = 30.0 + else: + score = _compound_relation_score(pname, owner, vargas[1]) + scores[f"sapta_d{division}"] = score + + offset = (longitude - DEBILITATION_DEG[pname]) % 360.0 + ucha_bala = round(min(offset, 360.0 - offset) / 3.0, 2) + wants_even = pname in {"Moon", "Venus"} + ojayugma = 15.0 * sum((vargas[division][pname] % 2 == 1) == wants_even for division in (1, 9)) + kendra_bala = 60.0 if house in (1, 4, 7, 10) else 30.0 if house in (2, 5, 8, 11) else 15.0 + drekkana_bala = 15.0 if ( + (pname in {"Sun", "Mars", "Jupiter"} and degree < 10.0) + or (pname in {"Mercury", "Saturn"} and 10.0 <= degree < 20.0) + or (pname in {"Moon", "Venus"} and degree >= 20.0) + ) else 0.0 + sapta_score = round(sum(scores.values()), 2) + return { + "ucha_bala": ucha_bala, + **scores, + "sapta_score": sapta_score, + "ojayugma_bala": ojayugma, + "kendra_bala": kendra_bala, + "drekkana_bala": drekkana_bala, + "total": round(ucha_bala + sapta_score + ojayugma + kendra_bala + drekkana_bala, 2), + } def calc_shadbala(planets: Dict, asc_sign: str, birth_hour: float, sun_lon: float, moon_lon: float, - birth_minute: float = 0.0) -> Dict: + birth_minute: float = 0.0, context: Dict | None = None) -> Dict: """ 计算 Shadbala 相对强弱参考（covered；外部绝对值校准前保留置信度上限） @@ -152,8 +331,8 @@ def calc_shadbala(planets: Dict, asc_sign: str, birth_hour: float, retro = p.get('retrograde', False) speed = p.get('speed', 1.0) - sthana = calc_sthana_bala(pname, lon, sign, house) - dig = calc_dig_bala(pname, house) + sthana = calc_sthana_bala_precise(pname, planets, house) + dig = calc_dig_bala_precise(pname, lon, context["house_midpoints"]) if context and context.get("house_midpoints") else calc_dig_bala(pname, house) kala = calc_kala_bala(pname, is_night, sun_northern, sun_lon, moon_lon, birth_hour, birth_minute) chesta = calc_chesta_bala(pname, retro, speed, sun_lon, moon_lon) naisargika = NAISARGIKA_BALA.get(pname, 30.0) @@ -176,8 +355,8 @@ def calc_shadbala(planets: Dict, asc_sign: str, birth_hour: float, retro = p.get('retrograde', False) speed = p.get('speed', 1.0) - sthana = calc_sthana_bala(pname, lon, sign, house) - dig = calc_dig_bala(pname, house) + sthana = calc_sthana_bala_precise(pname, planets, house) + dig = calc_dig_bala_precise(pname, lon, context["house_midpoints"]) if context and context.get("house_midpoints") else calc_dig_bala(pname, house) kala = calc_kala_bala(pname, is_night, sun_northern, sun_lon, moon_lon, birth_hour, birth_minute) chesta = calc_chesta_bala(pname, retro, speed, sun_lon, moon_lon) naisargika = NAISARGIKA_BALA.get(pname, 30.0) @@ -737,52 +916,8 @@ def calc_yuddha_bala(planets: Dict) -> Dict: def calc_drik_bala(pname: str, sign: str, house: int, all_planets: Dict) -> float: - """Drik Bala（相位力量），基于精确度数差(Sputa Drishti)计算。 - v6.1.13: 升级为基于精确角距离的Sputa Drishti（替代简化宫位差）""" - drik = 0.0 - p_sign_idx = SIGNS.index(sign) if sign in SIGNS else 0 - p_degree_in_sign = (all_planets[pname].get('degree', 0) if pname in all_planets else 0) % 30 - p_lon = p_sign_idx * 30 + p_degree_in_sign - - for other_name, other_data in all_planets.items(): - if other_name == pname or other_name == 'Rahu' or other_name == 'Ketu': - continue - - other_sign = other_data.get('sign', '') - if other_sign not in SIGNS: - continue - other_sign_idx = SIGNS.index(other_sign) - other_deg_in_sign = other_data.get('degree', 0) % 30 - other_lon = other_sign_idx * 30 + other_deg_in_sign - - # 计算精确角度差 - diff = abs(p_lon - other_lon) - if diff > 180: - diff = 360 - diff - - # 检查传统相位规则（7宫=180°冲，特殊相位=Mars4/8, Jupiter5/9, Saturn3/10） - has_aspect = False - house_diff = (p_sign_idx - other_sign_idx) % 12 + 1 - if house_diff == 7 or house_diff == 1: - has_aspect = True - if other_name in SPECIAL_ASPECTS: - if house_diff in SPECIAL_ASPECTS[other_name]: - has_aspect = True - - if not has_aspect: - continue - - # 使用Sputa Drishti计算相位力量 (0-1) → 缩放为0-60 Virupas - sputa_value = _get_sputa_drishti_value(diff, other_name) - - if other_name in BENEFICS: - drik += sputa_value * 60.0 - elif other_name in MALEFICS: - drik -= sputa_value * 60.0 - else: - drik += sputa_value * 30.0 # 中性行星 - - return max(-60.0, min(60.0, drik)) + """Compatibility wrapper for the continuous Sphuta Drishti calculation.""" + return calc_drik_bala_precise(pname, all_planets) # ============================================================================ diff --git a/scripts/three_engine_high_rigor_parity.py b/scripts/three_engine_high_rigor_parity.py new file mode 100644 index 00000000..e8b637d0 --- /dev/null +++ b/scripts/three_engine_high_rigor_parity.py @@ -0,0 +1,170 @@ +#!/usr/bin/env python3 +"""Build same-case D2/D4/D9/D10/AV/Shadbala parity artifacts.""" + +from __future__ import annotations + +import hashlib +import json +import sys +import tempfile +from pathlib import Path +from typing import Any + +ROOT = Path(__file__).resolve().parents[1] +if str(ROOT) not in sys.path: + sys.path.insert(0, str(ROOT)) +SCRIPTS = ROOT / "scripts" +if str(SCRIPTS) not in sys.path: + sys.path.insert(0, str(SCRIPTS)) + +from benchmarks.jyotish.scripts.run_pyjhora_compare import build_pyjhora_sample +from benchmarks.jyotish.scripts.run_skill_baseline import run_sample +from scripts.three_engine_parity_runner import _capture_jyotishganit_raw + +ORACLE = ROOT / "references" / "oracle" +ARTIFACTS = ORACLE / "artifacts" +PLANETS = ["Sun", "Moon", "Mars", "Mercury", "Jupiter", "Venus", "Saturn"] +SIGNS = ["Aries", "Taurus", "Gemini", "Cancer", "Leo", "Virgo", "Libra", "Scorpio", "Sagittarius", "Capricorn", "Aquarius", "Pisces"] +VED_VARGA_FIELDS = {"D2": "PlanetHoraD2Signs", "D4": "PlanetChaturthamshaD4Sign", "D9": "PlanetNavamshaD9Sign", "D10": "PlanetDashamamshaD10Sign"} +VED_COMPONENT_FIELDS = { + "sthana": "PlanetSthanaBala", "kala": "PlanetKalaBala", "dig": "PlanetDigBala", + "chesta": "PlanetChestaBala", "naisargika": "PlanetNaisargikaBala", "drik": "PlanetDrikBala", +} +SAMPLE = { + "id": "steve_jobs_public_aa", "label": "Steve Jobs public AA", "category": "public", "privacy": "public", + "birth": {"year": 1955, "month": 2, "day": 24, "hour": 19, "minute": 15, "lat": 37.7749, "lon": -122.4194, "tz": -8.0}, + "today": "2026-07-17", +} + + +def _write(path: Path, value: Any) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + path.write_text(json.dumps(value, ensure_ascii=False, indent=2, sort_keys=True), encoding="utf-8") + + +def _sha(path: Path) -> str: + return hashlib.sha256(path.read_bytes()).hexdigest() + + +def _jyotish_planet_signs(chart: dict[str, Any]) -> dict[str, str]: + return {str(p["celestialBody"]): str(p["sign"]) for h in chart.get("houses", []) for p in h.get("occupants", []) if p.get("celestialBody") in PLANETS} + + +def _jyotish_shadbala(raw: dict[str, Any]) -> tuple[dict[str, float], dict[str, dict[str, float]]]: + totals: dict[str, float] = {}; components: dict[str, dict[str, float]] = {} + for house in raw["d1Chart"]["houses"]: + for p in house.get("occupants", []): + name = p.get("celestialBody") + if name not in PLANETS or "shadbala" not in p: + continue + s = p["shadbala"] + totals[name] = float(s["Shadbala"]["Total"]) + components[name] = {"sthana": float(s["Sthanabala"]["Total"]), "kala": float(s["Kaalabala"]["Total"]), "dig": float(s["Digbala"]), "chesta": float(s["Cheshtabala"]), "naisargika": float(s["Naisargikabala"]), "drik": float(s["Drikbala"])} + return totals, components + + +def _ved_payload(raw: dict[str, Any]) -> dict[str, Any]: + return raw["Payload"]["AllPlanetData"] + + +def _ved_components(raw: dict[str, Any], chesta: Any | None = None) -> dict[str, float]: + payload = _ved_payload(raw) + values = {name: float(payload[field]) for name, field in VED_COMPONENT_FIELDS.items() if field in payload} + if chesta is not None: + values["chesta"] = float(chesta) + return values + + +def _status(values: dict[str, Any], tolerance: float | None = None) -> str: + data = list(values.values()) + if tolerance is not None and all(isinstance(v, (int, float)) for v in data): + return "match" if max(data) - min(data) <= tolerance else "mismatch" + return "match" if len({json.dumps(v, sort_keys=True) for v in data}) == 1 else "mismatch" + + +def build() -> dict[str, Any]: + local_result = run_sample(SAMPLE) + if not local_result.get("ok"): + raise RuntimeError(local_result.get("error")) + local = local_result["canonical"] + local["shadbala_method_variants"] = { + "kala": "bphs_local_solar_events_ahargana_declination", + "chesta": "bphs_bounded_surya_mean_motion_seeghrochcha", + "chesta_source": "MIT jyotishganit structure plus public Surya Siddhanta revolution constants", + } + pyjhora = build_pyjhora_sample(SAMPLE) + with tempfile.TemporaryDirectory() as tmp: + jyotish, _ = _capture_jyotishganit_raw(Path(tmp)) + ved_path = ARTIFACTS / "vedastro_steve_jobs_public_aa_divisional_raw.json" + ved = json.loads(ved_path.read_text(encoding="utf-8")) + + local_path = ARTIFACTS / "local_steve_jobs_high_rigor_raw.json" + py_path = ARTIFACTS / "pyjhora_steve_jobs_high_rigor_raw.json" + jy_path = ARTIFACTS / "jyotishganit_steve_jobs_high_rigor_raw.json" + _write(local_path, local); _write(py_path, pyjhora); _write(jy_path, jyotish) + + rows: list[dict[str, Any]] = [] + jy_d1 = _jyotish_planet_signs(jyotish["d1Chart"]) + for planet in PLANETS: + values = { + "local": local["planets"][planet]["sign"], + "PyJHora_JHora": pyjhora["planets"][planet]["sign"], + "VedAstro": _ved_payload(ved["raw_responses"][planet])["PlanetRasiD1Sign"]["Name"], + "jyotishganit": jy_d1[planet], + } + rows.append({"section": "D1", "field": f"{planet}.sign", "local_value": values.pop("local"), "oracle_values": values, "status": _status({"local": local["planets"][planet]["sign"], **values})}) + for section, ved_field in VED_VARGA_FIELDS.items(): + jy_signs = _jyotish_planet_signs(jyotish["divisionalCharts"][section.lower()]) + for planet in PLANETS: + values = { + "local": local["varga"][section][planet]["sign"], + "PyJHora_JHora": pyjhora["varga"][section][planet]["sign"], + "VedAstro": _ved_payload(ved["raw_responses"][planet])[ved_field]["Name"], + "jyotishganit": jy_signs[planet], + } + rows.append({"section": section, "field": f"{planet}.sign", "local_value": values.pop("local"), "oracle_values": values, "status": _status({"local": local["varga"][section][planet]["sign"], **values})}) + + ved_bav = ved["scalar_responses"]["ashtakavarga_bav"]["Payload"]["BhinnashtakavargaChart"] + ved_sav = ved["scalar_responses"]["ashtakavarga_sav_chart"]["Payload"]["SarvashtakavargaChart"]["Sarvashtakavarga"]["Rows"] + jy_av = jyotish["ashtakavarga"] + for planet in PLANETS: + values = {"local": local["ashtakavarga"]["bav"][planet], "PyJHora_JHora": pyjhora["ashtakavarga"]["bav"][planet], "VedAstro": ved_bav[planet]["Rows"], "jyotishganit": [jy_av[f"{planet.lower()}Bhav"][s] for s in SIGNS]} + rows.append({"section": "ashtakavarga_bav", "field": planet, "local_value": values.pop("local"), "oracle_values": values, "status": _status({"local": local["ashtakavarga"]["bav"][planet], **values})}) + sav_values = {"local": local["ashtakavarga"]["sav"], "PyJHora_JHora": pyjhora["ashtakavarga"]["sav"], "VedAstro": ved_sav, "jyotishganit": [jy_av["sav"][s] for s in SIGNS]} + rows.append({"section": "ashtakavarga_sav", "field": "12_sign_scores", "local_value": sav_values.pop("local"), "oracle_values": sav_values, "status": _status({"local": local["ashtakavarga"]["sav"], **sav_values})}) + + jy_totals, jy_components = _jyotish_shadbala(jyotish) + for planet in PLANETS: + total_values = {"local": local["shadbala"][planet], "PyJHora_JHora": pyjhora["shadbala"][planet], "VedAstro": float(_ved_payload(ved["raw_responses"][planet])["PlanetShadbalaPinda"]), "jyotishganit": jy_totals[planet]} + rows.append({"section": "shadbala_total", "field": planet, "local_value": total_values.pop("local"), "oracle_values": total_values, "status": _status({"local": local["shadbala"][planet], **total_values}, 0.5)}) + ved_chesta = ved["component_responses"][f"{planet}.chesta"]["Payload"]["PlanetChestaBala"] + ved_components = _ved_components(ved["raw_responses"][planet], ved_chesta) + for component in VED_COMPONENT_FIELDS: + values = {"local": local["shadbala_components"][planet][component], "PyJHora_JHora": pyjhora["shadbala_components"][planet][component], "VedAstro": ved_components[component], "jyotishganit": jy_components[planet][component]} + row = {"section": "shadbala_components", "field": f"{planet}.{component}", "local_value": values.pop("local"), "oracle_values": values, "status": _status({"local": local["shadbala_components"][planet][component], **values}, 0.5)} + if component == "chesta": + row["method_conflict"] = "PyJHora unbounded; VedAstro/jyotishganit bounded; Sun/Moon treatment differs across engines." + rows.append(row) + + manifest = { + "case_id": "steve_jobs_public_1955_lahiri", "birth_data_policy": "public_case_only", "blocked_reason": "none", + "engines": { + "VedAstro": {"status": "official_verified", "official_raw_response_path": "artifacts/" + ved_path.name, "artifact_hash": _sha(ved_path), "settings": ved["settings"]}, + "PyJHora_JHora": {"status": "imported", "raw_output_path": "artifacts/" + py_path.name, "artifact_hash": _sha(py_path), "settings": pyjhora["settings"]}, + "jyotishganit": {"status": "imported", "raw_output_path": "artifacts/" + jy_path.name, "artifact_hash": _sha(jy_path), "settings": {"ayanamsa": jyotish["ayanamsa"]}}, + }, + "comparison_rows": rows, + "method_arbitration": { + "kala": "local_vs_PyJHora_7_of_7_within_0.05_virupa", + "chesta": "blocked_cross_engine_method_conflict", + "chesta_local_variant": "bphs_bounded_surya_mean_motion_seeghrochcha", + }, + "runtime_boundary": "Full same-case raw coverage; mismatches remain formula/method differences, not missing artifacts.", + } + _write(ORACLE / "three_engine_parity_replay_manifest.json", manifest) + return manifest + + +if __name__ == "__main__": + result = build() + print(json.dumps({"status": "built", "rows": len(result["comparison_rows"])}, indent=2)) diff --git a/tests/test_shadbala_precise_context.py b/tests/test_shadbala_precise_context.py new file mode 100644 index 00000000..978392c8 --- /dev/null +++ b/tests/test_shadbala_precise_context.py @@ -0,0 +1,56 @@ +from scripts.shadbala import ( + build_shadbala_context, + calc_dig_bala_precise, + calc_drik_bala_precise, + calc_sthana_bala_precise, + classify_drik_planets, +) + + +PLANET_LONGITUDES = { + "Sun": 312.51819523181405, + "Moon": 344.51168181221095, + "Mars": 5.862334338243072, + "Mercury": 291.12589362817465, + "Jupiter": 87.27055150216494, + "Venus": 267.94211928370015, + "Saturn": 207.92738390514674, +} +PYJHORA_DIG = {"Sun": 24.81, "Moon": 95.48, "Mars": 77.41, "Mercury": 12.64, "Jupiter": 80.60, "Venus": 69.95, "Saturn": 19.62} +PYJHORA_DRIK = {"Sun": 1.74, "Moon": 20.06, "Mars": 13.49, "Mercury": -10.63, "Jupiter": 6.89, "Venus": -2.75, "Saturn": 9.49} +PYJHORA_STHANA = {"Sun": 217.09, "Moon": 246.34, "Mars": 198.63, "Mercury": 167.96, "Jupiter": 201.80, "Venus": 154.06, "Saturn": 218.61} + + +def _planets() -> dict: + return { + planet: { + "degree": longitude, + "sign": ["Aries", "Taurus", "Gemini", "Cancer", "Leo", "Virgo", "Libra", "Scorpio", "Sagittarius", "Capricorn", "Aquarius", "Pisces"][int(longitude // 30)], + } + for planet, longitude in PLANET_LONGITUDES.items() + } + + +def test_precise_dig_bala_matches_pyjhora_same_chart() -> None: + context = build_shadbala_context(2435163.6354166665, 37.7749, -122.4194, "lahiri") + for planet, longitude in PLANET_LONGITUDES.items(): + assert calc_dig_bala_precise(planet, longitude, context["house_midpoints"]) == PYJHORA_DIG[planet] + + +def test_drik_classification_matches_pyjhora_same_chart() -> None: + benefics, malefics = classify_drik_planets(_planets()) + assert benefics == {"Moon", "Mercury", "Jupiter", "Venus"} + assert malefics == {"Sun", "Mars", "Saturn"} + + +def test_precise_drik_bala_matches_pyjhora_same_chart() -> None: + planets = _planets() + for planet, expected in PYJHORA_DRIK.items(): + assert abs(calc_drik_bala_precise(planet, planets) - expected) <= 0.02 + + +def test_precise_sthana_bala_matches_pyjhora_same_chart() -> None: + planets = _planets() + houses = {"Sun": 7, "Moon": 8, "Mars": 9, "Mercury": 6, "Jupiter": 11, "Venus": 5, "Saturn": 3} + for planet, expected in PYJHORA_STHANA.items(): + assert calc_sthana_bala_precise(planet, planets, houses[planet])["total"] == expected diff --git a/tests/test_three_engine_high_rigor_parity.py b/tests/test_three_engine_high_rigor_parity.py new file mode 100644 index 00000000..ba5c5a11 --- /dev/null +++ b/tests/test_three_engine_high_rigor_parity.py @@ -0,0 +1,56 @@ +import os +from pathlib import Path +import subprocess +import sys + +from benchmarks.jyotish.scripts.run_skill_baseline import run_sample +from benchmarks.jyotish.scripts.run_pyjhora_compare import build_pyjhora_sample, compare_one +from scripts import three_engine_high_rigor_parity as parity + + +ROOT = Path(__file__).resolve().parents[1] + + +def test_runner_imports_from_commercial_root() -> None: + env = os.environ.copy() + env["PYTHONPATH"] = str(ROOT) + result = subprocess.run( + [sys.executable, "-c", "import scripts.three_engine_high_rigor_parity"], + cwd=ROOT, + env=env, + capture_output=True, + text=True, + check=False, + ) + assert result.returncode == 0, result.stderr + + +def test_public_sample_exposes_shadbala_components() -> None: + result = run_sample(parity.SAMPLE) + assert result["ok"] is True + components = result["canonical"]["shadbala_components"] + assert set(components["Sun"]) == set(parity.VED_COMPONENT_FIELDS) + + +def test_pyjhora_sample_exposes_shadbala_components() -> None: + sample = build_pyjhora_sample(parity.SAMPLE) + assert set(sample["shadbala_components"]["Sun"]) == set(parity.VED_COMPONENT_FIELDS) + + +def test_pyjhora_matrix_includes_shadbala_components() -> None: + baseline = { + "ascendant": {}, "planets": {}, "varga": {}, "ashtakavarga": {}, "shadbala": {}, "dasha": {}, + "shadbala_components": {"Sun": {name: 1.0 for name in parity.VED_COMPONENT_FIELDS}}, + } + rows = compare_one("sample", baseline, baseline) + assert {row["field"] for row in rows if row["section"] == "Shadbala_Component" and row["body"] == "Sun"} == set(parity.VED_COMPONENT_FIELDS) + + +def test_jyotishganit_planet_map_reads_divisional_occupants() -> None: + chart = {"houses": [{"occupants": [{"celestialBody": "Sun", "sign": "Leo"}]}]} + assert parity._jyotish_planet_signs(chart) == {"Sun": "Leo"} + + +def test_vedastro_components_read_six_raw_fields() -> None: + raw = {"Payload": {"AllPlanetData": {field: index for index, field in enumerate(parity.VED_COMPONENT_FIELDS.values(), 1)}}} + assert parity._ved_components(raw) == {name: index for index, name in enumerate(parity.VED_COMPONENT_FIELDS, 1)}